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LGT Private Banking
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AI Engineer – Development of LLM Agents 80% - 100% (f/m/d)
Switzerland
· Full-time
·
Entry
About Us
LGT is the largest Private Banking and Asset Management group in the world to be owned by an entrepreneurial family. As the family office of the Princely House of Liechtenstein, we have years of experience in the management of sizeable sums of assets.
Your challenge
As an AI Engineer for the development of LLM Agents, you are responsible for the successful implementation of GenAI products and services. Your specific duties include:
Your profile
Benefits at LGT
A great place to work – a great place to have impact: LGT promotes diversity among its employees. We believe that an inclusive and appreciative corporate culture is the driver for a great workplace and provides the opportunity to create a unique and successful team. That's why our employees can also benefit from many additional benefits.
Family & Work:
LGT is the largest Private Banking and Asset Management group in the world to be owned by an entrepreneurial family. As the family office of the Princely House of Liechtenstein, we have years of experience in the management of sizeable sums of assets.
Your challenge
As an AI Engineer for the development of LLM Agents, you are responsible for the successful implementation of GenAI products and services. Your specific duties include:
- Designing and optimizing LLM agents to process and generate insights from large LGT datasets.
- Developing, managing, and deploying AI solutions leveraging the Azure AI ecosystem.
- Fine-tuning LLMs on LGT’s internal data.
- Integrating GenAI capabilities into internal IT systems.
- Creating and refining prompts for GenAI models to ensure accurate and contextually relevant outputs.
- Conducting quality assurance measures.
- Collaborating with GenAI data scientists and Azure Cloud Architects to productionalize and roll out applications to end users.
- Contributing to testing, deployment, and troubleshooting of AI systems.
- Providing end-user support and application maintenance.
Your profile
- Bachelor’s degree or higher in data science, computer science, applied mathematics, economics, statistics, engineering, or a related field, or an equivalent combination of training and experience.
- At least 5 years of experience in machine learning with a focus on NLP and in developing AI models, especially leveraging LLMs.
- Experience with Microsoft Azure Cloud.
- Background in the financial services industry is preferred.
- Excellent communication and presentation skills, with previous experience in a consultative role being a plus.
- Strong problem-solving skills and comfort working in a fast-paced, agile, and collaborative environment.
Benefits at LGT
A great place to work – a great place to have impact: LGT promotes diversity among its employees. We believe that an inclusive and appreciative corporate culture is the driver for a great workplace and provides the opportunity to create a unique and successful team. That's why our employees can also benefit from many additional benefits.
Family & Work:
- Various flexible work models
- Sabbatical
- At least 25 days annual leave, depending on age
- Special paid leave options
- Maternity and paternity leave, options for further parental leave
- Employee health and wellbeing program
- Subsidized classes (yoga, fitness)
- Healthy meal options
- Fresh fruit supplied daily
- Internal courses
- External courses offered by the Liechtenstein Academy
- Support for external training and further education
- Coaching and mentoring programs
- International assignments
- Intrapreneurship program
- Discounts on LGT banking products and services
- LGT co-investments
- Discounts on health and property insurance
- Pension plan with individualized options
- Various mobility/e-mobility initiatives
- Recognition of major life events
Key Skills
Ranked by relevance
ai
cloud
machine learning
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- Posted
- Jan 30, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Zurich
- Company
- LGT Private Banking
Industries
Banking
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
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2026-05-28
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